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Using field data from three agro-ecological sites and four maize varieties, the study conducts model calibration, validation, and ensemble analysis. The findings demonstrate that ensemble modeling significantly improves simulation accuracy and reduces uncertainty compared to individual models. 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Both historical (1990\u20132019) and projected climate scenarios from 5 general circulation models (GCMs) under two representative \nconcentration pathways (RCP 4.5 and RCP 8.5) in the mid-century (2040\u20132069) and end of the century (2070\u20132099) periods were used. Depending on climate scenario, the minimum temperature is expected to rise by 1.7\u20134.4oC at Kano in the Sudan savanna (SS) agroecological zone (AEZ) and 1.4\u20134.0oC at Zaria in the northern Guinea savanna \n(NGS) AEZ, while maximum temperatures are projected to increase by 1.7\u20134.1oC in the SS and 1.3\u20133.6oC in the NGS. Seasonal average rainfall will increase by 4.8\u201314.5% in the SS and decrease by 2.6\u20133.8% in the NGS, relative to the baseline climate. The model predicted delaying trends for days to flowering and maturity for both varieties \nin all climate scenarios in the two AEZs.","bf_auteur":" Bebeley JF, Tofa AI, Kamara AY, Jibrin  JM, Solomon R, Adeleke MA,","bf_training_duration":"","bf_description_2":"","fichierfichier":"ModellingThePotentialImpactOfClimateChan_fichierfichier_potential_impact_of_climate_chage_on_soybean_20250521185003_20250521185003.pdf_","bf_url":"","bf_url1":"","bf_select":"non_free_licence","bf_text":"","bf_moderation":"","bf_mail":"","id_typeannonce":"4","id_fiche":"ModellingThePotentialImpactOfClimateChan","imagebf_image":"","date_creation_fiche":"2025-05-21 18:50:03","statut_fiche":"1","bf_checkboxes4":"BebeleyJennehFatima","checkboxListeType":"2","bf_checkboxes":"define,analyse,assess,design","bf_method":"AssessmentFramework","bf_checkboxes1":"agricultural_system","bf_checkboxes2":"","bf_trainees":"master","fichierbf_file1":"","fichierbf_file":"","date_maj_fiche":"2026-01-21 16:34:55","user":"Maela Roudaut","owner":"Jenneh","html_data":"data-bf_select=\u0022non_free_licence\u0022 data-id_typeannonce=\u00224\u0022 data-id_fiche=\u0022ModellingThePotentialImpactOfClimateChan\u0022 data-date_creation_fiche=\u00222025-05-21 18:50:03\u0022 data-statut_fiche=\u00221\u0022 data-bf_checkboxes4=\u0022BebeleyJennehFatima\u0022 data-checkboxListeType=\u00222\u0022 data-bf_checkboxes=\u0022define,analyse,assess,design\u0022 data-bf_method=\u0022AssessmentFramework\u0022 data-bf_checkboxes1=\u0022agricultural_system\u0022 data-bf_trainees=\u0022master\u0022 data-date_maj_fiche=\u00222026-01-21 16:34:55\u0022 data-owner=\u0022Jenneh\u0022 ","url":"https:\/\/system-s.org\/?ModellingThePotentialImpactOfClimateChan"},"ArticleS":{"bf_titre":"Case study to advocate for systeme science in agricultural faculties","bf_description":"It clearly shows that there is a gap between the logic of research and development and the logic of farmers in 3 subsaharan africa public and private extension programmes.","bf_auteur":"Salimata POUSGA, Ismail Moumouni and Sofia BOQVIST","bf_training_duration":"","bf_description_2":"","fichierfichier":"ArticleS_fichierfichier_Salimata__case_study_to_advocate_for_systeme_science_in_subsaharan_agricultural_universities.pptx_20250522012927_20250522012927.pdf_","bf_url":"","bf_url1":"","bf_select":"PubD","bf_text":"","bf_moderation":"","bf_mail":"","id_typeannonce":"4","id_fiche":"ArticleS","imagebf_image":"","date_creation_fiche":"2025-05-22 01:29:27","statut_fiche":"1","bf_checkboxes4":"SondePousgaSalimata","checkboxListeType":"2","bf_checkboxes":"define,assess","bf_method":"AssessmentFramework","bf_checkboxes1":"agricultural_system,food_system","bf_checkboxes2":"","bf_trainees":"master","fichierbf_file1":"","fichierbf_file":"","date_maj_fiche":"2026-01-21 16:25:01","user":"Maela Roudaut","owner":"","html_data":"data-bf_select=\u0022PubD\u0022 data-id_typeannonce=\u00224\u0022 data-id_fiche=\u0022ArticleS\u0022 data-date_creation_fiche=\u00222025-05-22 01:29:27\u0022 data-statut_fiche=\u00221\u0022 data-bf_checkboxes4=\u0022SondePousgaSalimata\u0022 data-checkboxListeType=\u00222\u0022 data-bf_checkboxes=\u0022define,assess\u0022 data-bf_method=\u0022AssessmentFramework\u0022 data-bf_checkboxes1=\u0022agricultural_system,food_system\u0022 data-bf_trainees=\u0022master\u0022 data-date_maj_fiche=\u00222026-01-21 16:25:01\u0022 ","url":"https:\/\/system-s.org\/?ArticleS"},"UsingFuzzyCognitiveMapsForSustainableIrri":{"bf_titre":"Fuzzy Cognitive Maps for Sustainable Irrigation","bf_description":"This work applies system science principles through the use of stakeholder-based Fuzzy Cognitive Mapping (FCM). It allows for a holistic understanding of how social, economic, and environmental variables interact, enabling the exploration of dynamic feedbacks and potential unintended consequences. In this context, FCM served as a valuable tool to simulate alternative policy and behavioural scenarios, identify leverage points, and support more informed decision-making for sustainable water reuse in agriculture.","bf_auteur":"Mario Ballesteros-Olza1, Irene Blanco-Guti\u00e9rrez, Paloma Esteve1, Almudena G\u00f3mez-Ramos, and Antonio Bolinches","bf_training_duration":"Two class sessions","bf_description_2":"The paper has been used to teach \u2018Agrarian Bioeconomy\u2019, a second-year subject of the bachelor\u2019s degree in Agricultural Sciences and Bioeconomy at the Universidad Polit\u00e9cnica de Madrid. Specifically, it was included in Topic 2: Analysis of Bioeconomic Systems, where was introduced the concept of systems and the analysis of systemic relationships. 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This method makes it possible to visualize and compare farmers\u2019 mental models depending on the type of support they receive. The results show that governmental institutions mainly provide technical and material support, while NGOs also offer knowledge and market-based support, and that these interventions are generally perceived positively and encourage a shift toward perennial crops.","bf_select":"CC_BY_SA","bf_text":"Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. 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Le document est organis\u00e9 autour de ces diff\u00e9rentes facettes de la discipline. La d\u00e9marche syst\u00e9mique utilis\u00e9e est bas\u00e9e sur l\u2019analyse des relations structure-fonctions-flux dans les syst\u00e8mes complexes dynamiques d\u00e9crite dans un autre document d\u2019enseignement (Wery, 2017 ; D\u00e9marche de conceptualisation d\u2019un probl\u00e8me en syst\u00e8me en Agriculture).\n\nLes concepts et m\u00e9thodes pr\u00e9sent\u00e9s peuvent s\u2019appliquer \u00e0 toutes les formes d\u2019agriculture (intensive en intrants de synth\u00e8se, intensive en travail, agro\u00e9cologique, biologique, de conservation, agroforesterie\u2026), dans tous les secteurs de production (grandes cultures, maraichage, arboriculture, viticulture, fourrages\u2026) et dans toutes les r\u00e9gions (temp\u00e9r\u00e9e, m\u00e9diterran\u00e9enne, tropicale\u2026).\n\nLes mots entre guillemets sont la traduction anglaise des termes.\n","bf_auteur":"Jacques Wery, H\u00e9l\u00e8ne Marrou, Fran\u00e7ois Affholder, Aur\u00e9lie Metay1","bf_training_duration":"The handbook was used as a pre-reading or post-reading documents in various courses ranging from a 3h introductory course to agricultural systems for BSc students to a 6 month course on agricultural science for Masters students specializing in agriculture.","bf_description_2":"","fichierfichier":"MementoDAgronomieSystemique_fichierfichier_Mmento_Agronomie_Systmique_WERY_2018_20251126184929_20251126184929.pdf_","bf_url":"","bf_url1":"","bf_illustrative_article":"","bf_text1":"Title + Description","bf_select":"CC_BY","bf_text":"","bf_moderation":"","bf_mail":"","id_typeannonce":"4","id_fiche":"MementoDAgronomieSystemique","imagebf_image":"MementoDAgronomieSystemique_imagebf_image_haut_Atlas_Maroc_2025_20251126184928_20251126184928.jpg","fichierbf_file1":"","fichierbf_file":"","date_creation_fiche":"2025-11-26 18:49:29","statut_fiche":"1","bf_checkboxes4":"WeryJacques","checkboxListeType":"handbook","bf_checkboxes":"define,analyse,assess,design","bf_method":"ConceptualModel","bf_checkboxes1":"agricultural_system,land","bf_checkboxes2":"","bf_trainees":"bachelor,master,phd","bf_contact_illustrative":"","date_maj_fiche":"2026-04-09 18:29:30","user":"OwolabiSchambach","owner":"Jacques Wery","html_data":"data-bf_select=\u0022CC_BY\u0022 data-id_typeannonce=\u00224\u0022 data-id_fiche=\u0022MementoDAgronomieSystemique\u0022 data-date_creation_fiche=\u00222025-11-26 18:49:29\u0022 data-statut_fiche=\u00221\u0022 data-bf_checkboxes4=\u0022WeryJacques\u0022 data-checkboxListeType=\u0022handbook\u0022 data-bf_checkboxes=\u0022define,analyse,assess,design\u0022 data-bf_method=\u0022ConceptualModel\u0022 data-bf_checkboxes1=\u0022agricultural_system,land\u0022 data-bf_trainees=\u0022bachelor,master,phd\u0022 data-date_maj_fiche=\u00222026-04-09 18:29:30\u0022 data-owner=\u0022Jacques Wery\u0022 ","url":"https:\/\/system-s.org\/?MementoDAgronomieSystemique"},"SupportingTheCodesignOfAgronomicInnovation":{"bf_titre":"Supporting the Codesign of Agronomic Innovations with Data","bf_description":"This book originates from the observation that codesign processes in Living Labs often favour local knowledge over academic knowledge and are rarely informed by systematically collected data. 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